Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications by Efriza Cahya Narendra, Amalia Anjani Arifiyanti, Tri Luhur Indayanti Sugata

“…These results underscore the importance of imbalanced data resampling and multilabel classification techniques in advancing ABSA, offering valuable insights for improving sentiment analysis in real-world applications.…”
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Impact of Missing Data on Data Quality in Social Research by Yaroslav Kostenko

“…The article illustrates various approaches to managing missing data through a combination of hypothetical scenarios and case studies from actual research in order to showcase the application and effectiveness of various methods. …”
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Data for the common good in the common European data space by Olga M.C. van der Valk, Mark Ryan

“…Commons are open-access resources governed by a group, either formally by regulation or informally by local customs. The application of the data commons to the CEDS would promote data-sharing for the “common good.” …”
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Application of Mixed-Integer Linear Programming Models for the Sustainable Management of Vine Pruning Residual Biomass: An Integrated Theoretical Approach by Leonel J. R. Nunes

“…Future research should focus on real-time data integration, dynamic updates, and multi-objective optimization to improve model robustness and applicability across diverse supply chain scenarios.…”
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A novel Compound-Pareto model with applications and reliability peaks above a random threshold value at risk analysis by Mohammad Abiad, M. M. Abd El-Raouf, Haitham M. Yousof, M. E. Bakr, Oluwafemi Samson Balogun, M. Yusuf, Getachew Tekle Mekiso, Yusra A. Tashkandy

“…Abstract This paper aims to model the bimodal and right-skewed aircraft windshield data using a novel compounded-Pareto distribution. …”
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A digital twin model of urban utility tunnels and its application [version 1; peer review: 2 approved] by Wu Jiansong, Hu Yanzhu, Fan chen, Cai Jitao, Fu Ming, Wang Xin, Zou Xiaofu

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Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases by Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas

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The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random by Wahiba Bouabsa

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Leveraging the satellite-based climate data record CLARA-A3 to understand the climatic trend regimes relevant for solar energy applications over Europe by A. Devasthale, S. Andersson, E. Engström, F. Kaspar, J. Trentmann, A. Duguay-Tetzlaff, J. F. Meirink, E. Kjellström, E. Kjellström, T. Landelius, M. A. Thomas, K.-G. Karlsson

“…In this study, by leveraging the satellite-based climate data record (CDR) CLARA-A3, we investigate the recent trends in SIS and cloud properties over Europe during the 1982–2020 period. …”
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Application of the DEB-TKTD model with multi-omics data: Prediction of life history traits of Chinese mitten crab (Eriocheir sinensis) under different salinities by Hanzun Zhang, Shipeng Dong, Hongwei Shan, Chao Yang, Fang Wang

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Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the "RegulaRN Leitos Gerais" platform. by Tiago de Oliveira Barreto, Fernando Lucas de Oliveira Farias, Nicolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Gleyson José Pinheiro Caldeira Silva, Chander de Oliveira Pinheiro, Maria Valéria Bezerra Medina, Felipe Ricardo Dos Santos Fernandes, Ingridy Marina Pierre Barbalho, Lyane Ramalho Cortez, João Paulo Queiroz Dos Santos, Antonio Higor Freire de Morais, Gustavo Fontoura de Souza, Guilherme Medeiros Machado, Márcia Jacyntha Nunes Rodrigues Lucena, Ricardo Alexsandro de Medeiros Valentim

“…Data was also correlated, balanced, and divided into training and test portions for application in machine learning models. …”
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Design and Implementation of an Intelligent Environmental-Control System: Perception, Network, and Application with Fused Data Collected from Multiple Sensors in a Greenhouse at Jiangsu, China by Jun Liu

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Utilizing geospatial analytics of cancer catchment area data for targeted recruitment of underserved populations for cancer prevention research: a precision public health application by Ming S. Lee, Armando Vera, Daniela F. Quetant, Nancy S. Elliott, Valerie D. Bethel, Till Krenz, Lauren Nahodyl, Amanda Rivera, Shria Kumar, Brandon Mahal, Elizabeth J. Franzmann, Erin N. Kobetz

“…Background: This paper introduces an innovative application of precision public health by the Sylvester Comprehensive Cancer Center (SCCC), utilizing catchment area data and geospatial analytics to identify cancer hot spots with underserved populations to recruit participants into research projects on prostate cancer, H. pylori infection, and oral cancers via community outreach and engagement.Methods: Using data from SCAN360 (i.e. a web-based data repository operated by SCCC), we carried out geospatial hot spot analyses to identify statistically significant clusters of census tracts with high incidences of prostate, gastric cancer associated with H. pylori infection, and oral cancer. …”
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Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the “RegulaRN Leitos Gerais” platform by Tiago de Oliveira Barreto, Fernando Lucas de Oliveira Farias, Nicolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Gleyson José Pinheiro Caldeira Silva, Chander de Oliveira Pinheiro, Maria Valéria Bezerra Medina, Felipe Ricardo dos Santos Fernandes, Ingridy Marina Pierre Barbalho, Lyane Ramalho Cortez, João Paulo Queiroz dos Santos, Antonio Higor Freire de Morais, Gustavo Fontoura de Souza, Guilherme Medeiros Machado, Márcia Jacyntha Nunes Rodrigues Lucena, Ricardo Alexsandro de Medeiros Valentim

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The application and predictive value of the weight-adjusted-waist index in BC prevalence assessment: a comprehensive statistical and machine learning analysis using NHANES data by Wenjing Wang, Biao Wu, Jian Li, Yibiao Shang, Mengting Liu, Qi Fang, Han Zhang, Xiang Li, Dongdi Wu

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Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

“…Various types of numerical control (NC) machine tools can be standardly operated and controlled based on NC data that can be easily generated using widespread CAD/CAM systems. …”
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GenomicScape: an easy-to-use web tool for gene expression data analysis. Application to investigate the molecular events in the differentiation of B cells into plasma cells. by Alboukadel Kassambara, Thierry Rème, Michel Jourdan, Thierry Fest, Dirk Hose, Karin Tarte, Bernard Klein

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A Study to Evaluate the Potential Role and Clinical Application Value of Long Noncoding RNA CASC Family Members in Colorectal Cancer Based on Transcriptomic Data by Chao Liang, Jun Wang, Xinyu Liu

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Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020 by Keegan E. Johnson, Paul C. Reneau, Matthew J. Komiskey

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Combining physics-based and data-driven models for quantitatively accurate plasma profile prediction that extrapolates well; with application to DIII-D, AUG, and ITER tokamaks by J. Abbate, E. Fable, G. Tardini, R. Fischer, E. Kolemen, the ASDEX Upgrade Team

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